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Artificial Intelligence in Marketing: A Review of Consumer-AI Interactions

Artificial Intelligence in Marketing: A Review of Consumer-AI Interactions

Özge Sığırcı
Copyright: © 2021 |Pages: 24
ISBN13: 9781799869856|ISBN10: 1799869857|EISBN13: 9781799869863
DOI: 10.4018/978-1-7998-6985-6.ch016
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MLA

Sığırcı, Özge. "Artificial Intelligence in Marketing: A Review of Consumer-AI Interactions." Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry, edited by Valentina Chkoniya, IGI Global, 2021, pp. 342-365. https://doi.org/10.4018/978-1-7998-6985-6.ch016

APA

Sığırcı, Ö. (2021). Artificial Intelligence in Marketing: A Review of Consumer-AI Interactions. In V. Chkoniya (Ed.), Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry (pp. 342-365). IGI Global. https://doi.org/10.4018/978-1-7998-6985-6.ch016

Chicago

Sığırcı, Özge. "Artificial Intelligence in Marketing: A Review of Consumer-AI Interactions." In Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry, edited by Valentina Chkoniya, 342-365. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-6985-6.ch016

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Abstract

The purpose of this chapter is to shed light on the consumer-AI interaction in the marketplace. By this aim, the chapter uses a literature review approach. The previous literature examining AI from a consumer behavior perspective is reviewed, and the findings are compiled in a meaningful flow. According to the review, we see that the traditional marketplace is shaped by AI from only human-to-human interactions to human-to-AI and AI-to-AI interactions. In this new marketplace, while consumers interact with AI, they gain new experiences and feel positive or negative because of these experiences. Also, they build different relationships with AI, such as servant, master, or partner. Besides these relationships, there are still concerns about AI that are related to privacy, algorithmic biases, consumer vulnerability, unemployment, and ethical decision making.

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